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Swiss Federal Institute for Forest, Snow and Landscape Research WSL | Switzerland | about 7 hours ago
methods for image classification including machine learning and deep learning. You will develop clear workflows that allow for regular update of the derived models and maps. Furthermore, you will work
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-PDF), data analysis and modelling for partially crystalline material systems Developing lab-based X-ray multimodalities: X-ray diffraction & imaging presentation of scientific results through
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-cultural. EPFL covers a wide spectrum of science and engineering and offers a fertile sSchool of Basic Sciences include theoretical and experimental biophysics, biological imaging and physics of machine
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conceptually new type of image sensor based on perovskite materials. Related publications: 1. Tsarev, S., et al., Vertically stacked monolithic perovskite colour photodetectors. Nature, 2025. 642(8068): p. 592
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This project is a collaboration between the Multiphase Fluid Dynamics group (Prof. Supponen) at the Institute of Fluid Dynamics, and the Functional and Molecular Imaging group (Prof. Razansky
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a focus on how cell elimination underlies the emergence of functional tissues. The team employs a wide range of cutting-edge methods, including single-cell transcriptomics, imaging-based techniques
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100%, Zurich, fixed-term The enhancement of endoscopic videos is a critical yet complex task. These videos are integral to various clinical interventions, where the clarity of imaging data is
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processes, and environmental fluid dynamics. We use a broad spectrum of technologies in microbiology and microfluidics, as well as advanced imaging techniques, and are a large (approx. 35 members), highly
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collaboration to combine their expertise. By integrating these complementary approaches, we aim to provide the first comprehensive picture of Hsp90's structure–dynamics–function relationship, with broad